Integrative Analyses

Genetic Distance Metrics

Comparing cases to controls across sets of genes enables predictions
of susceptibility and identification of robust and fragile pathways.

Welcome

Living processes comprise many highly variable, strongly interdependent
and adaptive parts, and state-of-the-art computing coupled with
modern biological experiments now provide an immense opportunity for
understanding complex biological dynamics.
Our research, broadly described as
computational systems biology, is concerned with the development of novel
computational techniques for the analysis of data from high-throughput
biological experiments, with the goal of elucidating the processes that
lead to the emergence of complex phenotypes.

Join us!

Interested in working with us as a student or collaborator?
Contact us!